Chi, Ed

11 publications

NeurIPS 2023 Recommender Systems with Generative Retrieval Shashank Rajput, Nikhil Mehta, Anima Singh, Raghunandan Hulikal Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Tran, Jonah Samost, Maciej Kula, Ed Chi, Maheswaran Sathiamoorthy

NeurIPS 2023 Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems Benjamin Coleman, Wang-Cheng Kang, Matthew Fahrbach, Ruoxi Wang, Lichan Hong, Ed Chi, Derek Cheng

NeurIPS 2022 Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou

NeurIPS 2022 Improving Multi-Task Generalization via Regularizing Spurious Correlation Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed Chi

AISTATS 2021 Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model Jiaqi Ma, Xinyang Yi, Weijing Tang, Zhe Zhao, Lichan Hong, Ed Chi, Qiaozhu Mei

ICLR 2021 Batch Reinforcement Learning Through Continuation Method Yijie Guo, Shengyu Feng, Nicolas Le Roux, Ed Chi, Honglak Lee, Minmin Chen

NeurIPS 2021 DSelect-K: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning Hussein Hazimeh, Zhe Zhao, Aakanksha Chowdhery, Maheswaran Sathiamoorthy, Yihua Chen, Rahul Mazumder, Lichan Hong, Ed Chi

NeurIPS 2021 Improving Calibration Through the Relationship with Adversarial Robustness Yao Qin, Xuezhi Wang, Alex Beutel, Ed Chi

NeurIPS 2020 Fairness Without Demographics Through Adversarially Reweighted Learning Preethi Lahoti, Alex Beutel, Jilin Chen, Kang Wook Lee, Flavien Prost, Nithum Thain, Xuezhi Wang, Ed Chi

ICLR 2019 Efficient Training on Very Large Corpora via Gramian Estimation Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed Chi, John Anderson

ICMLW 2019 Improving Relevance Prediction with Transfer Learning in Large-Scale Retrieval Systems Ruoxi Wang, Zhe Zhao, Xinyang Yi, Ji Yang, Derek Zhiyuan Cheng, Lichan Hong, Steve Tjoa, Jieqi Kang, Evan Ettinger, Ed Chi